A Definition of Metastability for Markov Processes with Detailed Balance
Francois Leyvraz, Hernan Larralde, David P. Sanders

TL;DR
This paper proposes a formal definition of metastable states in finite Markov processes with detailed balance, emphasizing a key probability condition, and demonstrates its application on a 2D kinetic Ising model.
Contribution
It introduces a new criterion for identifying genuine metastable states in Markov processes with detailed balance, linking physical intuition with mathematical formalism.
Findings
Identified a key condition for genuine metastability: negligible equilibrium probability in the state.
Applied the formalism to a 2D kinetic Ising model with preliminary results.
Connected the definition to the restricted ensemble approach.
Abstract
A definition of metastable states applicable to arbitrary finite state Markov processes satisfying detailed balance is discussed. In particular, we identify a crucial condition that distinguishes genuine metastable states from other types of slowly decaying modes and which leads to properties similar to those postulated in the restricted ensemble approach \cite{pen71}. The intuitive physical meaning of this condition is simply that the total equilibrium probability of finding the system in the metastable state is negligible. As a concrete application of our formalism we present preliminary results on a 2D kinetic Ising model.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
